seldon-core-operator

Seldon Core CRD and controller helm chart for Kubernetes.

Usage

To use this chart, you will first need to add the seldonio Helm repo:

helm repo add seldonio https://storage.googleapis.com/seldon-charts
helm repo update

Once that’s done, you should then be able to deploy the chart as:

kubectl create namespace seldon-system
helm install seldon-core-operator seldonio/seldon-core-operator --namespace seldon-system

Source Code

• https://github.com/SeldonIO/seldon-core

• https://github.com/SeldonIO/seldon-core/tree/master/helm-charts/seldon-core-operator

• https://docs.seldon.io/projects/seldon-core/en/latest/workflow/install.html

Values

Key	Type	Default	Description
ambassador.enabled	bool	false
ambassador.singleNamespace	bool	false
ambassador.version	string	"v2"
certManager.enabled	bool	false
controllerId	string	""
crd.annotations	object	{}
crd.create	bool	true
crd.forceV1	bool	false
crd.forceV1beta1	bool	false
credentials.gcs.gcsCredentialFileName	string	"gcloud-application-credentials.json"
credentials.s3.s3AccessKeyIDName	string	"awsAccessKeyID"
credentials.s3.s3SecretAccessKeyName	string	"awsSecretAccessKey"
defaultUserID	string	"8888"
executor.fullHealthChecks	bool	false
executor.image.pullPolicy	string	"IfNotPresent"
executor.image.registry	string	"docker.io"
executor.image.repository	string	"seldonio/seldon-core-executor"
executor.image.tag	string	"1.19.0-dev"
executor.metricsPortName	string	"metrics"
executor.port	int	8000
executor.prometheus.path	string	"/prometheus"
executor.requestLogger.defaultEndpoint	string	"http://default-broker"
executor.requestLogger.workQueueSize	int	10000
executor.requestLogger.writeTimeoutMs	int	2000
executor.resources.cpuLimit	string	"500m"
executor.resources.cpuRequest	string	"500m"
executor.resources.memoryLimit	string	"512Mi"
executor.resources.memoryRequest	string	"512Mi"
executor.serviceAccount.name	string	"default"
executor.user	int	8888
explainer.image	string	"seldonio/alibiexplainer:1.19.0-dev"
explainer.image_v2	string	"seldonio/mlserver:1.3.5-alibi-explain"
hostNetwork	bool	false
image.pullPolicy	string	"IfNotPresent"
image.registry	string	"docker.io"
image.repository	string	"seldonio/seldon-core-operator"
image.tag	string	"1.19.0-dev"
istio.enabled	bool	false
istio.gateway	string	"istio-system/seldon-gateway"
istio.tlsMode	string	""
keda.enabled	bool	false
kubeflow	bool	false
manager.annotations	object	{}
manager.containerSecurityContext	object	{}
manager.cpuLimit	string	"500m"
manager.cpuRequest	string	"100m"
manager.deploymentNameAsPrefix	bool	false
manager.leaderElectionID	string	"a33bd623.machinelearning.seldon.io"
manager.leaderElectionLeaseDurationSecs	int	15
manager.leaderElectionRenewDeadlineSecs	int	10
manager.leaderElectionResourceLock	string	nil
manager.leaderElectionRetryPeriodSecs	int	2
manager.logLevel	string	"INFO"
manager.memoryLimit	string	"300Mi"
manager.memoryRequest	string	"200Mi"
manager.priorityClassName	string	nil
managerCreateResources	bool	false
managerUserID	int	8888
metrics.port	int	8080
namespaceOverride	string	""
predictiveUnit.defaultEnvSecretRefName	string	""
predictiveUnit.grpcPort	int	9500
predictiveUnit.httpPort	int	9000
predictiveUnit.metricsPortName	string	"metrics"
predictor_servers.HUGGINGFACE_SERVER.protocols.v2.defaultImageVersion	string	"1.3.5-huggingface"
predictor_servers.HUGGINGFACE_SERVER.protocols.v2.image	string	"seldonio/mlserver"
predictor_servers.MLFLOW_SERVER.protocols.seldon.defaultImageVersion	string	"1.19.0-dev"
predictor_servers.MLFLOW_SERVER.protocols.seldon.image	string	"seldonio/mlflowserver"
predictor_servers.MLFLOW_SERVER.protocols.v2.defaultImageVersion	string	"1.3.5-mlflow"
predictor_servers.MLFLOW_SERVER.protocols.v2.image	string	"seldonio/mlserver"
predictor_servers.SKLEARN_SERVER.protocols.seldon.defaultImageVersion	string	"1.19.0-dev"
predictor_servers.SKLEARN_SERVER.protocols.seldon.image	string	"seldonio/sklearnserver"
predictor_servers.SKLEARN_SERVER.protocols.v2.defaultImageVersion	string	"1.3.5-sklearn"
predictor_servers.SKLEARN_SERVER.protocols.v2.image	string	"seldonio/mlserver"
predictor_servers.TEMPO_SERVER.protocols.v2.defaultImageVersion	string	"1.3.5-slim"
predictor_servers.TEMPO_SERVER.protocols.v2.image	string	"seldonio/mlserver"
predictor_servers.TENSORFLOW_SERVER.protocols.seldon.defaultImageVersion	string	"1.19.0-dev"
predictor_servers.TENSORFLOW_SERVER.protocols.seldon.image	string	"seldonio/tfserving-proxy"
predictor_servers.TENSORFLOW_SERVER.protocols.tensorflow.defaultImageVersion	string	"2.1.0"
predictor_servers.TENSORFLOW_SERVER.protocols.tensorflow.image	string	"tensorflow/serving"
predictor_servers.TRITON_SERVER.protocols.v2.defaultImageVersion	string	"21.08-py3"
predictor_servers.TRITON_SERVER.protocols.v2.image	string	"nvcr.io/nvidia/tritonserver"
predictor_servers.XGBOOST_SERVER.protocols.seldon.defaultImageVersion	string	"1.19.0-dev"
predictor_servers.XGBOOST_SERVER.protocols.seldon.image	string	"seldonio/xgboostserver"
predictor_servers.XGBOOST_SERVER.protocols.v2.defaultImageVersion	string	"1.3.5-xgboost"
predictor_servers.XGBOOST_SERVER.protocols.v2.image	string	"seldonio/mlserver"
rbac.configmap.create	bool	true
rbac.create	bool	true
serviceAccount.create	bool	true
serviceAccount.name	string	"seldon-manager"
singleNamespace	bool	false
storageInitializer.cpuLimit	string	"1"
storageInitializer.cpuRequest	string	"100m"
storageInitializer.image	string	"seldonio/rclone-storage-initializer:1.19.0-dev"
storageInitializer.memoryLimit	string	"1Gi"
storageInitializer.memoryRequest	string	"100Mi"
usageMetrics.enabled	bool	false
webhook.port	int	4443